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- University of AmsterdamNL235 papers
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- Boston UniversityUS68 papers
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- University of Science and Technology of ChinaCN68 papers
- Aix-Marseille UniversitéFR67 papers
- Ann Arbor Center for Independent LivingUS67 papers
- Brookhaven National LaboratoryUS67 papers
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235 papers
Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation
Sudaksh Kalra, Dolly Sapra
EdgeAI systems are increasingly employing computer vision applications to enable intelligent, on-device decision-making in real-time. However, these deployments face highly dynamic…
An Epistemic Position-Based Click Model: From Interactions to Epistemic Distributions of Relevance and Bias
Oscar Rolando Ramirez Milian, Harrie Oosterhuis
User interactions with rankings are affected by both items' relevances and display positions. Accordingly, click probabilities are often modeled as a product of relevance and posit…
Exposure-Based Reinforcement Learning to Rank
Harrie Oosterhuis, Rolf Jagerman, Zhen Qin +1
Reinforcement learning (RL) methods for learning-to-rank (LTR) can optimize (almost) any ranking goal, e.g., from precision or discounted cumulative gain to fairness-of-exposure or…
EcoKube: Simulating Carbon-Aware Scheduling Policies in Heterogeneous Edge-Cloud Environments
Gonçalo Ferreira, Shashikant Ilager
Energy demand from cloud and edge computing is rising rapidly, with AI workloads further intensifying electricity use and associated carbon emissions. In hybrid edge-cloud settings…
The Powerless Noise: How Experimental Settings Shape the Reported Power of Noise
Michał Mazuryk, Fleur Dolmans, Louis Gehringer +3
Recent work has suggested that adding irrelevant documents to the input of retrieval-augmented generation (RAG) systems can improve question-answering performance, a phenomenon ref…
Search for Coverage: Learning Coverage-Aware Retrieval with Augmented Sub-Question Answerability
Jia-Huei Ju, Eugene Yang, Trevor Adriaanse +2
Long-form Retrieval-Augmented Generation (RAG) brings the challenge of coverage-based ranking, because ranking methods must ensure the inclusion of comprehensive relevant nuggets (…